Llama 3.1 70B vs Ministral 3 14B
Llama 3.1 70B vs Ministral 3 14B: Ministral 3 14B is cheaper for input-heavy usage ($0.20/M vs $0.88/M input tokens), while Ministral 3 14B is better for long-context tasks (256,000 tokens).
Direct answer: choose Ministral 3 14B for lower token spend and choose Ministral 3 14B when your workload needs longer context.
Compare input and output token pricing, context windows, and monthly cost estimates on one page so you can pick the cheaper model fast.
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Llama 3.1 70B
Ministral 3 14B
Cost Differences
Ministral 3 14B costs less than Llama 3.1 70B
Quick Recommendation
Winner for direct API pricing: Ministral 3 14B. At the default workload, Ministral 3 14B saves about $3.06/month ($37.23/year) versus Llama 3.1 70B.
Feature Comparison
| Feature | Llama 3.1 70B | Ministral 3 14B |
|---|---|---|
| Provider | Meta (via Together AI) | Mistral AI |
| Input Price | $0.88/1M tokens | $0.20/1M tokens |
| Output Price | $0.88/1M tokens | $0.20/1M tokens |
| Context Window | 128,000 tokens | 256,000 tokens |
| Max Output | 32,768 tokens | 32,768 tokens |
| Category | balanced | balanced |
| Capabilities | textcode | textvision |
| Release Date | 7/23/2024 | 12/2/2025 |
Llama 3.1 70B vs Ministral 3 14B: Which Should You Choose?
Choosing between Llama 3.1 70B and Ministral 3 14B depends on your priorities: cost efficiency, context length, or raw capability. Ministral 3 14B is the more affordable option at $0.20/1M input tokens — 77% cheaper than Llama 3.1 70B. Meanwhile, Ministral 3 14B offers a significantly larger context window at 256,000 tokens vs 128,000 for Llama 3.1 70B.
These models come from different providers — Meta (via Together AI) and Mistral AI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Meta (via Together AI), switching to Mistral AIinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
Both models are in the balanced category, making this a direct head-to-head comparison. At scale — say 10,000 requests per day — the cost difference adds up: Ministral 3 14B would save you roughly $306.00/month compared to Llama 3.1 70B. For startups and indie developers, that difference can be significant.
Output costs matter too. Llama 3.1 70B charges $0.88/1M output tokens vs $0.20 for Ministral 3 14B. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Ministral 3 14B has the edge here at $0.20/1M output tokens.
Multimodal capabilities: Ministral 3 14B supports vision (image inputs) while Llama 3.1 70B is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose Llama 3.1 70B when:
- • You're already using Meta (via Together AI)'s API ecosystem
Choose Ministral 3 14B when:
- • Budget is a primary concern
- • You need a larger context window (256,000 tokens)
- • You're already using Mistral AI's API ecosystem
Pros and Caveats at a Glance
Llama 3.1 70B
- • Input pricing: $0.88/M tokens
- • Output pricing: $0.88/M tokens
- • Context window: 128,000 tokens
- • Max output: 32,768 tokens
Watch out for
- • Higher input cost than Ministral 3 14B
- • Higher output cost than Ministral 3 14B
- • Smaller context window than Ministral 3 14B
Ministral 3 14B
- • Input pricing: $0.20/M tokens
- • Output pricing: $0.20/M tokens
- • Context window: 256,000 tokens
- • Max output: 32,768 tokens
Watch out for
- • Trade-offs are minor in this matchup.
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Llama 3.1 70B (Meta (via Together AI))
Ministral 3 14B (Mistral AI)
Start using Llama 3.1 70B today
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Sign Up for Mistral AI →Frequently Asked Questions
Which is cheaper, Llama 3.1 70B or Ministral 3 14B?▼
What is the context window difference between Llama 3.1 70B and Ministral 3 14B?▼
Which model is better for AI Chatbot?▼
Which model has better overall pricing for heavy usage?▼
Where can I compare Meta (via Together AI) and Mistral AI API pricing beyond this model matchup?▼
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